Comments (2)
jmoralez
commented on May 13, 2024
Hi, thanks for raising this. We've made some breaking changes and haven't made a release yet, so most of what you'll see in GitHub and in the docs page isn't available on the PyPI package yet. If you want to try out the new functionalities you can install from github: pip install git+https://github.com/Nixtla/mlforecast or you can check the v0.2.0 tag as reference.
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jmoralez
commented on May 13, 2024
We've released v0.3.0 which should fix this, please let us know if the issue persists.
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Related Issues (20)
- [MLForecast] lag_transforms with different features packages HOT 6
- MLForecast: Core: Add prediction intervals to forecast_fitted_values
- [Core] Saving of the model HOT 20
- [core]Using multiple models can cause `new_x` lag feature shift HOT 2
- [Core]`ts.update` method may not support target_transforms,lag_transforms and date_features HOT 1
- [Model] Distributed version of the model giving Arrow Capacity error HOT 6
- predict() and cross_validation() outputs inconsistency HOT 6
- Dynamic features for training HOT 1
- model.predict encounters an error HOT 3
- Does mlforecast train a single global model or one model per serie? HOT 2
- mlforecast: can the number of exogenous variables be different for different unique_id? HOT 2
- MLforecast does not work with with PyArrow dates HOT 2
- Fcst.predict does not accept X_df with dynamic exogenous variables HOT 2
- [Model] Distributed and Non-distributed version of the models giving different result HOT 8
- [MLForecast: test set eval and early stopping ] HOT 2
- AutoDifferences, AutoSeasonalityAndDifferences result in "AttributeError: 'NoneType' object has no attribute 'AutoDifferences'" HOT 2
- Lag feature: how initial values are treated or populated once the data has been shifted? HOT 2
- [date features]: dayofweek_cat - day of week as a one hot encoding feature HOT 4
- [Core] getting an error module 'coreforecast.lag_transforms' has no attribute 'BaseLagTransform' HOT 3
- [distributed]: allow for .ts.update in DistributedMLForecast HOT 3
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